Class RootMeanSquaredError
- java.lang.Object
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- ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
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- ai.libs.jaicore.ml.regression.loss.dataset.ARegressionMeasure
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- ai.libs.jaicore.ml.regression.loss.dataset.RootMeanSquaredError
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- All Implemented Interfaces:
org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<java.lang.Double>,org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
public class RootMeanSquaredError extends ARegressionMeasure
The root mean squared loss function. This loss function computes the sum of differences of expected/actual pairs, divides this by the number of observations, and takes the square root.
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Constructor Summary
Constructors Constructor Description RootMeanSquaredError()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description doubleloss(java.util.List<? extends java.lang.Double> actual, java.util.List<? extends java.lang.Double> expected)-
Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure
averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, score, score
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Method Detail
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loss
public double loss(java.util.List<? extends java.lang.Double> actual, java.util.List<? extends java.lang.Double> expected)- Specified by:
lossin interfaceorg.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>- Overrides:
lossin classAPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
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